Summary: AMPLITUDE MODULATION DECORRELATION
FOR CONVOLUTIVE BLIND SOURCE SEPARATION
Jörn Anemüller and Birger Kollmeier
Arbeitsgruppe Medizinische Physik and Graduiertenkolleg Psychoakustik,
Carl von OssietzkyUniversität, Oldenburg, Germany
ane@unioldenburg.de, http://medi.unioldenburg.de/members/ane
ABSTRACT
The problem of blind separation of a convolutive mixture of
speech signals is considered. Signal separation is performed
in the frequency domain.
Based on observations from amplitude spectrograms of
speech signals, the notion of amplitude modulation corre-
lation (`AMCor') across dierent frequency channels is in-
troduced. From the corresponding principle of amplitude
modulation decorrelation, a novel costfunction and an al-
gorithm for convolutive blind source separation are derived.
The algorithms' main features are discussed. Successful sep-
aration of synthetic data and of realroom recordings of
speech is performed. The results of the latter are compared
to the performance of previous algorithms on the same data.